docstr: Create input dictionary and preprocessor.
docstr_tok: ["Create","input","dictionary","and","preprocessor","."]
code: def setUp(self):
      """Create input dictionary and preprocessor."""
      super().setUp()
      sr = 16000
      frame_rate = 250
      frame_size = 256
      n_samples = 16000
      n_t = 250
      # Replicate preprocessor computations.
      audio = (
          0.5
          * tf.sin(tf.range(0, n_samples, dtype=tf.float32))[None, :]
      )
      power_db = compute_power(
          audio,
          sample_rate=sr,
          frame_rate=frame_rate,
          frame_size=frame_size,
      )
      power_db = preprocessing.at_least_3d(power_db)
      power_db = resample(power_db, n_t)
      self.input_dict = {
          "f0_hz": tf.ones([1, n_t]),
          "audio": audio,
          "power_db": power_db,
      }
      self.preprocessor = preprocessing.F0PowerPreprocessor(
          time_steps=n_t, frame_rate=frame_rate, sample_rate=sr
      )
  
file_path: ddsp/ddsp/training/preprocessing_test.py
imports: from absl.testing import parameterized
  from ddsp.core import resample
  from ddsp.spectral_ops import compute_power
  from ddsp.training import preprocessing
  import tensorflow
label_desc: Use image node_id 1 for calling the F0PowerPreprocessorTest obj's underlying member method code with example usage: obj.setUp() without return types